10
Ekstremer i avrenning under klima endringer, hvordan kan vi anvende resultater fra JOVA - programmetKIWASWATDrainModHBVINCA-P Soil_NO COUP AgriCat? Q1.1. How well does the model’s output relate to the task? Q1.2. How well does the model’s spatio-temporal resolution compare with the requirements of the task? Q1.3. How well the model has been tested under conditions in focus? Q1.4. How complicated is the model in relation to the task? Q1.5. How is the balance between the input data and data availability? Q1.8. How is the peer acceptance for the model with scientific theory? Q3.5. How is the model’s flexibility for adaptation and improvements? Possible answers: Good; Adequate; Inadequate

28
Conclusions • Satisfactory results were obtained for flow, sediment transport and TP for the whole calibration and validation periods, but not for individual year • Merging of monitoring data, qualitative information from local experts and physical knowledge about processes on runoff and nutrient loss formation (performing data-model fusion) is an appropriate approach for improving our understanding of the system in focus • It is important to use all the available expert-based information while calibrating simulation models (reference data for sediment losses from diff. land use areas) • Models, used on a wise way – understanding their strengths and weaknesses – can be useful tools in decision making • It would be important to obtain data on runoff, sediment and nutrient losses not only at the catchment level, but also from dominant land use types and soil tillage systems.